> Markdown version of [/jobs/ext/473732-client-data-insights-lead](https://www.wearedevelopers.com/jobs/ext/473732-client-data-insights-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Client Data & Insights Lead - **Company:** Stark Carpet - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $130,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Presentation, Data Systems, Google Analytics, Power BI, Shopify, SQL Databases, Klaviyo Email and SMS Marketing, Data Analytics, Hubspot - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b2e239361d2ecc35 ## About the Role Do you have experience in Research findings presentation?, Do you have a Bachelor's degree?, * Bachelor's degree or equivalent experience required. * 4-7+ years of experience in data analytics, ecommerce analytics, client insights, CRM operations, or related fields. * Demonstrated experience improving data quality and structure across CRM or multi-system environments. * Familiarity with ecommerce and analytics platforms such as Shopify, Klaviyo, Triple Whale, GA4, HubSpot, Power BI, or similar tools. * Exposure to SQL or similar querying languages strongly preferred. * Experience with attribution modeling, incrementality testing, or channel performance analysis is a plus. * Experience within luxury retail, premium consumer goods, trade, wholesale, or ecommerce environments preferred. * Ability to collaborate effectively with both technical and non-technical stakeholders. * Strong analytical, organizational, and problem-solving skills. * Excellent communication skills with comfort presenting insights and recommendations to senior leadership. * Self-starter with the ability to operate effectively in a fast-paced, evolving environment. ## Description * Audit, clean, and structure ecommerce client data across HubSpot CRM, Shopify, and connected analytics systems to improve accuracy, completeness, and usability. * Help define what a complete digital client profile should look like across trade designer applicants and direct-to-consumer customers. * Identify and resolve data fragmentation across ecommerce platforms, attribution tools, lifecycle systems, and CRM platforms. * Establish and maintain data standards, naming conventions, and best practices that improve data quality at the source. * Partner with Marketing, Ecommerce, and Technology teams to improve how client data is captured, structured, and maintained over time. Core Reporting & Analytics * Own recurring ecommerce and marketing reporting, including weekly, monthly, and quarterly performance insights. * Deliver analysis across customer acquisition, retention, purchase behavior, trade engagement, and channel conversion. * Define and standardize KPIs and reporting definitions across digital channels to ensure consistent business visibility. * Translate performance data into clear, actionable insights for Marketing, Ecommerce, and senior leadership teams., * Evolve reporting from descriptive metrics to more diagnostic and forward-looking insights over time. * Conduct deep-dive analyses to identify trends, opportunities, and customer behavior patterns across key client segments. * Support conversion analysis, customer lifetime value modeling, and strategic planning initiatives. * Help develop attribution frameworks that support paid media and ecommerce decision-making. * Support incrementality testing initiatives and channel performance analysis. * Surface insights that connect marketing activity and ecommerce behavior into a more complete view of the customer journey., * Translate business questions into practical data solutions, including building queries, structuring datasets, and connecting data sources across platforms. * Serve as a business lead for client data and analytics platforms including HubSpot CRM, Shopify, Power BI, Triple Whale, or similar tools. * Partner closely with Technology teams on requirements gathering, testing, implementation, and ongoing optimization. * Identify opportunities where automation or AI can improve reporting, segmentation, data quality, or operational efficiency. * Ensure long-term usability, scalability, and integrity of analytics and reporting solutions. Self-Service Reporting & Enablement * Build reporting resources and self-service dashboards that enable teams to access key business insights independently. * Create documentation and reporting libraries that improve accessibility and consistency across teams. * Help establish intake and prioritization processes for ad-hoc reporting and custom analysis requests. * Educate stakeholders on how to interpret and apply data insights to support business decisions., * Partner closely with Marketing, Ecommerce, and Technology teams to align analytics priorities with business objectives. * Collaborate with senior leadership to ensure reporting reflects commercial goals and strategic priorities. * Maintain strong relationships with technology and analytics vendors to support integration health and platform effectiveness. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [WeAreDevelopers LIVE - Markdown, Liquid and Checkouts](https://www.wearedevelopers.com/videos/1814-wearedevelopers-live-markdown-liquid-and-checkouts) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)